The role of the input node is to distribute the input signal \(u(t)\)  to the reservoir kernel. In the algorithmic reservoir computer case, one introduces a numerical input weight \(\mathbf {W}^{\mathrm {in}}\in \mathbb {R}^{N_x\times N_u}\)  which is a matrix of size, \(N_x\times N_u\) , where \(N_x\)  and \(N_u\)  are the number of neuron nodes and the number of input signals, respectively. For the translation system as an EORC, that is considered here, neuron nodes are created artificially by means of time multiplexing and masking during the information encoding process; such artificial temporal nodes have also been referred to as virtual neuron nodes [1]}. Practically this process done by the Arbitrary Waveform Generator (AWG), see Fig. REF (b).
<FIGURE>